Predicting Learners' Success in a Self-paced MOOC Through Sequence Patterns of Self-regulated Learning. - Jorge Maldonado-Mahauad; Mar Pérez-Sanagustín; Pedro Manuel Moreno-Marcos; Carlos Alario-Hoyos; Pedro J. Muñoz Merino; Carlos Delgado Kloos (EC-TEL, 2018)

Sentiment analysis in MOOCs: A case study. - Pedro Manuel Moreno-Marcos; Carlos Alario-Hoyos; Pedro J. Muñoz Merino; Iria Estévez-Ayres; Carlos Delgado Kloos (EDUCON, 2018)

SHEILA policy framework: informing institutional strategies and policy processes of learning analytics. - Yi-Shan Tsai; Pedro Manuel Moreno-Marcos; Kairit Tammets; Kaire Kollom; Dragan Gasevic (LAK, 2018)

Analysing the predictive power for anticipating assignment grades in a massive open online course. - Pedro Manuel Moreno-Marcos; Pedro J. Muñoz Merino; Carlos Alario-Hoyos; Iria Estévez-Ayres; Carlos Delgado Kloos (Behav. Inf. Technol., 2018)

The SHEILA Framework: Informing Institutional Strategies and Policy Processes of Learning Analytics. - Yi-Shan Tsai; Pedro Manuel Moreno-Marcos; Ioana Jivet; Maren Scheffel; Kairit Tammets; Kaire Kollom; Dragan Gasevic (J. Learn. Anal., 2018)

Analyzing students' persistence using an event-based model. - Pedro Manuel Moreno-Marcos; Pedro José Muñoz Merino; Carlos Alario-Hoyos; Carlos Delgado Kloos (LASI-SPAIN, 2019)

Prediction in MOOCs: A Review and Future Research Directions. - Pedro Manuel Moreno-Marcos; Carlos Alario-Hoyos; Pedro J. Muñoz-Merino; Carlos Delgado Kloos (IEEE Trans. Learn. Technol., 2019)

A Learning Analytics Methodology for Understanding Social Interactions in MOOCs. - Pedro Manuel Moreno-Marcos; Carlos Alario-Hoyos; Pedro J. Muñoz-Merino; Iria Estévez-Ayres; Carlos Delgado Kloos (IEEE Trans. Learn. Technol., 2019)

An early warning dropout model in higher education degree programs: A case study in Ecuador. - Vanessa Heredia-Jiménez; Alberto Jiménez; Margarita Ortiz-Rojas; Jon Imaz Marín; Pedro Manuel Moreno-Marcos; Pedro J. Muñoz-Merino; Carlos Delgado Kloos (LAUR@EC-TEL, 2020)

Should We Consider Efficiency and Constancy for Adaptation in Intelligent Tutoring Systems? - Pedro Manuel Moreno-Marcos; Dánae Martínez de la Torre; Gabriel González Castro; Pedro J. Muñoz-Merino; Carlos Delgado Kloos (ITS, 2020)

An initial analysis of prediction techniques as a support for the flipped classroom. - Aarón Rubio-Fernández; Pedro Manuel Moreno-Marcos; Pedro José Muñoz Merino; Carlos Delgado Kloos (LASI-SPAIN, 2020)

Analysis of the Factors Influencing Learners' Performance Prediction With Learning Analytics. - Pedro Manuel Moreno-Marcos; Ting-Chuen Pong; Pedro J. Muñoz-Merino; Carlos Delgado Kloos (IEEE Access, 2020)

Temporal analysis for dropout prediction using self-regulated learning strategies in self-paced MOOCs. - Pedro Manuel Moreno-Marcos; Pedro J. Muñoz-Merino; Jorge Maldonado-Mahauad; Mar Pérez-Sanagustín; Carlos Alario-Hoyos; Carlos Delgado Kloos (Comput. Educ., 2020)

Learning analytics in European higher education - Trends and barriers. - Yi-Shan Tsai; Diego Rates; Pedro Manuel Moreno-Marcos; Pedro J. Muñoz-Merino; Ioana Jivet; Maren Scheffel; Hendrik Drachsler; Carlos Delgado Kloos; Dragan Gasevic (Comput. Educ., 2020)

Towards a Cloud-Based University Accelerated By the Pandemic. - Carlos Delgado Kloos; Carlos Alario-Hoyos; Carmen Fernández-Panadero; Pedro J. Muñoz-Merino; Iria Estévez-Ayres; Mario Muñoz Organero; María-Blanca Ibáñez; Pedro Manuel Moreno-Marcos; Boni García (EDUCON, 2021)

Success-Enablers of Learning Analytics Adoption in Higher Education: A Quantitative Ethnographic Study. - Asma Alzahrani; Yi-Shan Tsai; Vitomir Kovanovic; Pedro Manuel Moreno-Marcos; Ioana Jivet; Naif R. Aljohani; Dragan Gasevic (ICQE, 2021)

Can Feedback based on Predictive Data Improve Learners' Passing Rates in MOOCs? A Preliminary Analysis. - Mar Pérez-Sanagustín; Ronald Pérez-Álvarez; Jorge Maldonado-Mahauad; Esteban Villalobos; Isabel Hilliger; Josefina Hernández; Diego Sapunar; Pedro Manuel Moreno-Marcos; Pedro J. Muñoz-Merino; Carlos Delgado Kloos; Jon Imaz Marín (L@S, 2021)

Improving the learning of engineering students with interactive teaching applications. - Eduardo Corral; María J. Gómez García; Efrén Díez-Jiménez; Pedro Manuel Moreno-Marcos; Cristina Castejón Sisamon (Comput. Appl. Eng. Educ., 2021)

A four-country cross-case analysis of academic staff expectations about learning analytics in higher education. - Kaire Kollom; Kairit Tammets; Maren Scheffel; Yi-Shan Tsai; Ioana Jivet; Pedro J. Muñoz-Merino; Pedro Manuel Moreno-Marcos; Alexander Whitelock-Wainwright; Adolfo Ruiz-Calleja; Dragan Gasevic; Carlos Delgado Kloos; Hendrik Drachsler; et al. (Internet High. Educ., 2021)

Programming Teaching Interaction. - Carlos Delgado Kloos; Carmen Fernández-Panadero; Carlos Alario-Hoyos; Pedro Manuel Moreno-Marcos; María-Blanca Ibáñez; Pedro J. Muñoz-Merino; Boni García; Iria Estévez-Ayres (EDUCON, 2022)

Statoodle: A Learning Analytics Tool to Analyze Moodle Students' Actions and Prevent Cheating. - Pedro Manuel Moreno-Marcos; Jorge Barredo; Pedro J. Muñoz-Merino; Carlos Delgado Kloos (EC-TEL, 2023)

Recognizing the Value of Recognition in Education. - Carlos Delgado Kloos; Carlos Alario-Hoyos; María-Blanca Ibáñez; Pedro Manuel Moreno-Marcos; Pedro J. Muñoz-Merino; Iria Estévez-Ayres (EDUCON, 2023)

Analyzing feature importance for a predictive undergraduate student dropout model. - Alberto Jiménez-Macías; Pedro Manuel Moreno-Marcos; Pedro J. Muñoz-Merino; Margarita Ortiz-Rojas; Carlos Delgado Kloos (Comput. Sci. Inf. Syst., 2023)

A systematic analysis of learning analytics using multi-source data in the context of Spain. - Pedro J. Muñoz-Merino; Pedro Manuel Moreno-Marcos; Aarón Rubio-Fernández; Yi-Shan Tsai; Dragan Gasevic; Carlos Delgado Kloos (Behav. Inf. Technol., 2023)

Untangling connections between challenges in the adoption of learning analytics in higher education. - Asma Alzahrani; Yi-Shan Tsai; Sehrish Iqbal; Pedro Manuel Moreno-Marcos; Maren Scheffel; Hendrik Drachsler; Carlos Delgado Kloos; Naif R. Aljohani; Dragan Gasevic (Educ. Inf. Technol., 2023)

How can Generative AI Support Education? - Carlos Delgado Kloos; Carlos Alario-Hoyos; Iria Estévez-Ayres; Patricia Callejo-Pinardo; Miguel Ángel Hombrados-Herrera; Pedro J. Muñoz-Merino; Pedro Manuel Moreno-Marcos; Mario Muñoz Organero; María-Blanca Ibáñez (EDUCON, 2024)

Student and teacher impact on the use of telepresence classrooms. - Adrián Carruana Martín; Carlos Alario-Hoyos; Pedro Manuel Moreno-Marcos; Carlos Delgado Kloos (Educ. Inf. Technol., 2024)

GENIE Learn: Human-Centered Generative AI-Enhanced Smart Learning Environments. - Carlos Delgado Kloos; Juan I. Asensio-Pérez; Davinia Hernández-Leo; Pedro Manuel Moreno-Marcos; Miguel L. Bote-Lorenzo; Patricia Santos 001; Carlos Alario-Hoyos; Yannis Dimitriadis 001; Bernardo Tabuenca (CSEDU (2), 2025)

How Challenges Become Opportunities: Micro-credentials and Artificial Intelligence. - Carlos Delgado Kloos; Carlos Alario-Hoyos; Rebiha Kemcha; Pedro Manuel Moreno-Marcos; Iria Estévez-Ayres; Patricia Callejo-Pinardo; Pedro J. Muñoz Merino; María-Blanca Ibáñez; Mario Muñoz Organero (EDUCON, 2025)

Analysis of the Generalization of Students' Success Predictive Models in a Series of Java MOOCs on edX. - Pedro Manuel Moreno-Marcos; Miguel Rodríguez Guillén; Carlos Alario-Hoyos; Pedro J. Muñoz-Merino; Iria Estévez-Ayres; Carlos Delgado Kloos (EMOOCs, 2025)

Integration of Multiple Sources to Anticipate Student Performance Using Learning Analytics. - Pedro Manuel Moreno-Marcos; Carlos García Antolín; Carlos Alario-Hoyos; Pedro J. Muñoz-Merino; Carlos Delgado Kloos (ICALT, 2025)

Evaluation of traditional machine learning algorithms for featuring educational exercises. - Alberto Jiménez-Macías; Pedro J. Muñoz-Merino; Pedro Manuel Moreno-Marcos; Carlos Delgado Kloos (Appl. Intell., 2025)